You9ll build Yourgi9s engineering services function from the ground up: DevOps, SRE, release engineering, infrastructure as code, data pipelines, security operations, and data governance. Your job is to make deploys boring, rollbacks instant, production visible, and data trustworthy. You9ll lead a small team of DevOps and SRE engineers, some nearshore, stay hands-on, and set the operating practices every product team follows.
LOCATION : Remote (US only; must be authorized to work in the US, no visa sponsorship)
REPORTS TO:VP of Engineering
PAY: $190,000 base +10% bonus
CORE RESPONSIBILITES:
- DevOps and release engineering: own CI/CD for API, web, and mobile (GitHub Actions and Azure Pipelines), with unattended deploys, staged or canary releases, one-click rollback, and controlled production deploy access.
- SRE: stand up production monitoring and alerting on AWS (CloudWatch, X-Ray, synthetics, and PagerDuty), define SLOs for critical customer journeys, and replace noisy alert channels with alerts that are actionable and owned.
- Incident and change management: launch a shared on-call rotation, incident response, blameless postmortems, and weekly operational reviews.
- Infrastructure as code: bring AWS infrastructure and database operations under code (OpenTofu, Terraform, or CDK), with consistent environments and reviewed changes.
- Data pipelines: own the reliability of pipelines that move data from our services and partner systems into the data lake and warehouse, with monitoring, retries, and clear owners.
- Security operations: run secrets management, least-privilege IAM, dependency and vulnerability scanning, and supply-chain hygiene in every pipeline.
- Data governance: set standards for data access, retention, classification, and logging so customer data is handled safely across systems.
- Measures and cost: report DORA metrics (deploy frequency, lead time, change failure rate, and time to restore) and make cloud cost visible by team and service.
- People: hire, manage, and develop DevOps and SRE engineers, and help product teams own their services in production.
30/60/90 plan
First 30 Days: Inventory the existing pipelines, environments, AWS accounts, alerts, data pipelines, and production access permissions. Establish baseline monitoring for the most critical services. By the end of the first 30 days, review the current-state inventory and the key operational and security risks with the VP of Engineering, and ensure that baseline monitoring dashboards are live.
By Day 60: Establish and launch the on-call rotation and incident management process. Deliver at least one pipeline with automated deployment and rollback capabilities. Publish the initial standards for secrets management, access controls, and data handling. By day 60, ensure the on-call rotation is staffed, the first incident postmortems are documented, weekly operational dashboards are being reported, and the standards have been approved.
By Day 90: Define service-level objectives (SLOs) and configure alerts for the five most important customer journeys. Transition most production services into a continuous integration and continuous delivery (CI/CD) process. Introduce a monthly report covering DORA metrics and cloud costs. By the end of 90 days, ensure that SLOs and paging alerts are operational for all five customer journeys, deliver the first DORA and cloud-cost report to leadership, and establish an agreed-upon team hiring plan.
What will you need?
Required skills and experience
- 8+ years in DevOps, SRE, or platform engineering, including 2+ years leading engineers.
- Deep AWS experience, especially serverless (Lambda, EventBridge, and API Gateway), IAM, and RDS.
- Built CI/CD with GitHub Actions, Azure Pipelines, or similar, including automated rollback.
- Infrastructure as code in production (Terraform, OpenTofu, or CDK).
- Ran on-call and incident management that measurably reduced incidents and time to restore.
- Hands-on security operations: secrets management, access control, and vulnerability scanning.
- Comfortable managing nearshore or distributed team members.
Differentiators
- Data pipeline and data governance experience (e.g., Snowflake, data lakes, or event pipelines).
- Datadog or CloudWatch at scale; OpenTelemetry.
- Mobile release pipelines (App Store and Google Play).
- PCI awareness from working with payments (Stripe).
- AI tools for operations, such as incident summarization and runbook automation.
PERKS:
- Health, vision, dental, long & short-term disability, and Life insurance
- A Startup mentality company with stable funding
- Opportunity to grow your career with a network of like-minded professionals
